Senior Credit Analysis Lead & Mentor (Emerging Markets)

S&P Global; Buenos Aires; Vor Ort; ARS 184.482.000 - 245.976.000; Vollzeit

Zusammenfassung

S&P Global Ratings is seeking an Associate Director in Latin America to own end-to-end credit analysis for a portfolio of corporate issuers. The role includes serving as a senior analytical reference, driving quality and consistency, and shaping forward-looking risk insights for investors and market participants.

The candidate will lead surveillance, validate analytical assumptions, and leverage generative AI tools to accelerate research while maintaining accountability for outputs.

Qualifikationen

• 5–10 years of relevant experience in corporate credit analysis or a related financial services field.
• Proven credit and financial analysis skills with the ability to translate data into clear insights.
• Strong understanding of the financial services environment and how market developments affect credit risk.
• Effective written and verbal communication for committee-ready documentation and senior-level engagement.
• Proven experience coaching or mentoring junior analysts to raise analytical quality.

Aufgaben

• Lead end-to-end credit analysis for an assigned portfolio of corporate issuers with high analytical quality and timeliness.
• Lead surveillance and updates, connecting issuer performance to forward-looking risk themes with validated assumptions.
• Use approved generative AI tools to accelerate research, drafting, and peer comparisons with accountability for outputs.
• Translate complex data into market-facing narratives for issuers, investors, and senior market participants, contributing to thought leadership.

Jobbeschreibung

S&P Global Ratings is seeking an Associate Director in Latin America to own end-to-end credit analysis for a portfolio of corporate issuers. The role includes serving as a senior analytical reference, driving quality and consistency, and shaping forward-looking risk insights for investors and market participants.

The candidate will lead surveillance, validate analytical assumptions, and leverage generative AI tools to accelerate research while maintaining accountability for outputs.